Proceedings of the Rocscience International Conference (RIC 2023)

Metaheuristic Optimization Model Selection for Forecasting Surface Settling Caused by Tunneling

Authors
Asad Askari1, *, Hasan Askari1
1Habib Public School, Karachi, Pakistan
*Corresponding author. Email: asad.askari17269@habibschools.edu.pk
Corresponding Author
Asad Askari
Available Online 8 November 2023.
DOI
10.2991/978-94-6463-258-3_48How to use a DOI?
Keywords
Surface settlement prediction; metaheuristic algorithms; optimization; benchmark functions
Abstract

One of the riskiest aspects of excavating tunnels for infrastructure projects like subways and such is the possibility for surface set tlement, particularly in metropolitan areas. Therefore, it is crucial to predict maximum surface settlement (MSS) accurately to reduce the likeli hood of damage. Many researchers proposed new algorithms to solve this problem. This paper compares six existing metaheuristic nature-inspired algorithms i.e., Grey wolf, Ant lion, Dragonfly, Whale, Moth flame, Sine cosine optimizer concerning the given parameters i.e., hori zontal to vertical stress ratio, cohesion, and Young’s modulus. As a con sequence of this research, the researcher will be able to choose the most matched algorithm to handle this problem because each region has various variants in the parameters and each algorithm behaves differently with these factors. Through simulations and numerical values, the findings are validated on many benchmark functions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Rocscience International Conference (RIC 2023)
Series
Atlantis Highlights in Engineering
Publication Date
8 November 2023
ISBN
978-94-6463-258-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-258-3_48How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Asad Askari
AU  - Hasan Askari
PY  - 2023
DA  - 2023/11/08
TI  - Metaheuristic Optimization Model Selection for Forecasting Surface Settling Caused by Tunneling
BT  - Proceedings of the Rocscience International Conference  (RIC 2023)
PB  - Atlantis Press
SP  - 491
EP  - 501
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-258-3_48
DO  - 10.2991/978-94-6463-258-3_48
ID  - Askari2023
ER  -